The objective of this work was to acquire co-registered digital tomosynthesis mammograms and 3-D breast ultrasound images of breast phantoms. A prototype mammography compression paddle was built for this application and installed on an x-ray tomosynthesis prototype system (GE). Following x-ray exposure, an automated two-dimensional ultrasound probe mover assembly is precisely positioned above the compression plate, and an attached high-frequency ultrasound transducer is scanned over the acoustically coupled phantom or localized region of interest within the phantom through computerized control. The co-ordinate system of one of the two data sets is then transformed into that of the other, and matching regions of interest on either image set can be simultaneously viewed on the x-ray and ultrasound images thus enhancing qualitative visualization, localization and characterization of regions of interest. The potentials of structured noise reduction, cyst versus solid mass differentiation and full 3-D visualization of multi-modality registered data sets in a single automated combined examination are realized for the first time. Elements of system design and required image correction algorithms will be described and phantom studies with this prototype, automated system on an anthropomorphic breast phantom will be presented.
Ensuring that an ultrasound imager complies with all aspects of the FDA 510(k) regulations is a complex task, because there are hundreds of thousands of discrete operating conditions available to the sonographer. Accurate measurements require `peaking' of the hydrophone in azimuth and elevation, and acquiring data as a function of range. Thus it is necessary to characterize the acoustic field in 3 dimensions. It is simply impossible to measure the imager's output under each condition, so algorithmic means are needed to reduce the dimensionality of the problem. Even when simple linear dependencies (such as pulse repetition frequency) are taken into account, the time to obtain Thermal and Mechanical Indices for a new probe is formidable. We must also repeat the experiment each time changes are made to the transmitter hardware, or its waveforms. In this paper, we explore how to speed the acquisition of data used for estimation of the output labeling parameters by guiding the water-tank measurements with a beam simulator.
Conference Committee Involvement (14)
Ultrasonic Imaging and Tomography
16 February 2020 | Houston, Texas, United States
Ultrasonic Imaging and Tomography
17 February 2019 | San Diego, California, United States
Ultrasonic Imaging and Tomography
14 February 2018 | Houston, Texas, United States
Ultrasonic Imaging, Tomography, and Therapy
12 February 2013 | Lake Buena Vista (Orlando Area), Florida, United States
Ultrasonic Imaging, Tomography, and Therapy
5 February 2012 | San Diego, California, United States
Ultrasonic Imaging, Tomography, and Therapy
13 February 2011 | Lake Buena Vista (Orlando), Florida, United States
Ultrasonic Imaging, Tomography, and Therapy
14 February 2010 | San Diego, California, United States
Ultrasonic Imaging and Signal Processing
8 February 2009 | Lake Buena Vista (Orlando Area), Florida, United States
Ultrasonic Imaging and Signal Processing
17 February 2008 | San Diego, California, United States
Ultrasonic Imaging and Signal Processing
18 February 2007 | San Diego, CA, United States
Ultrasonic Imaging and Signal Processing
12 February 2006 | San Diego, California, United States
Ultrasonic Imaging and Signal Processing
16 February 2005 | San Diego, California, United States
Ultrasonic Imaging and Signal Processing
18 February 2004 | San Diego, California, United States
Ultrasonic Imaging and Signal Processing
19 February 2003 | San Diego, California, United States
Medical ultrasound instrument design is undergoing significant changes. The changes are intended to improve the quality of the acoustic beams by increasing the frequency of spatial sampling of the acoustic field both in transmit and receive, use of transmit codes to improve depth of penetration, and efforts at miniaturization of systems. This short course will describe the impact of these changes on the system design. Basic design concepts are reviewed and the use of computer simulations as an aid to the development process is described.
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